Topic starter
08/06/2026 4:28 pm
TL;DR: MCP standardises how AI agents connect to tools and data, while A2A standardises how agents discover and coordinate with each other, according to WorkOS. The governance problem is no longer just integration design: it is deciding where tool permissions end and inter-agent delegation begins.
Editorial analysis by NHI Mgmt Group, based on content published by WorkOS: “MCP vs. A2A: Which AI agent protocol should you use?”.
Key questions
Q: Where does MCP fail in agentic systems that need collaboration between multiple agents?
A: MCP fails when the problem is not tool access but peer coordination.
Q: Why do AI agent teams need to separate orchestration from tool authorisation?
A: Because the agent that receives work is not always the same identity that executes it.
Q: When does agent delegation become an access-control problem?
A: Delegation becomes an access-control problem the moment an agent can act beyond the original human request or create another actor with inherited authority.
Practitioner guidance
- Define separate trust policies for orchestration and execution Write one policy set for agent-to-agent handoff and another for tool access through MCP servers.
- Inventory every MCP server as a governed access surface Record which tools, data sources, and APIs each MCP server exposes, then classify the permissions attached to each one.
- Control Agent Cards and discovery rules Limit which agents can advertise capabilities, which peers can discover them, and which tasks can be handed off without additional approval.
Bottom line: MCP and A2A are not competing standards but different governance layers, with one governing tool access and the other governing agent collaboration.
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This topic was modified 3 days ago by NHI Mgmt Group
08/06/2026 6:08 pm
Tool access and agent delegation are separate identity problems: MCP governs what an agent can touch, while A2A governs who can hand work to whom. Those are not interchangeable control planes, even if both use similar transport concepts. The practical implication is that teams that collapse them into one policy layer will miss where authorisation actually changes hands.
A few things that frame the scale:
- 24,008 unique secrets were exposed in MCP configuration files in 2025 alone, the protocol's first year of widespread adoption, according to the State of Secrets Sprawl 2026.
A question worth separating out:
Q: How should security teams separate MCP from A2A in an agent architecture?
A: Security teams should treat MCP as the execution layer and A2A as the coordination layer. MCP standardizes how an agent discovers and calls tools, while A2A standardizes how agents find each other and delegate work. Keep the tool layer strictly separate so coordination choices can change later without forcing a rewrite of every integration or access path.
👉 Read our full editorial: MCP vs A2A: what AI agent teams need for tool access
This post was modified 3 days ago by NHI Mgmt Group